John Harlim

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Papers (23)

1. A Weak Penalty Neural ODE for Learning Chaotic Dynamics from Noisy Time Series cs.LG · 2025 · author #2
2. Approximating solutions of linear elliptic PDE's on a smooth manifold using local kernels math.NA · 2018 · author #2
3. Parameter estimation with data-driven nonparametric likelihood functions physics.data-an · 2018 · author #2
4. Data-Driven Computational Methods: Parameter and Operator Estimations (Chapter 1) physics.data-an · 2018 · author #1
5. Data-driven localization mappings in filtering the monsoon-Hadley multicloud convective flows physics.ao-ph · 2017 · author #2
6. A Parameter Estimation Method Using Linear Response Statistics: Numerical Scheme math.NA · 2017 · author #3
7. Diffusion forecasting model with basis functions from QR decomposition math.NA · 2017 · author #1
8. An Equation-By-Equation Method for Solving the Multidimensional Moment Constrained Maximum Entropy Problem math.NA · 2017 · author #2
9. Probabilistic prediction of the AL index with the diffusion forecasting model physics.data-an · 2016 · author #3
10. A Parameter Estimation Method Using Linear Response Statistics math.NA · 2016 · author #1
11. Correcting biased observation model error in data assimilation stat.ME · 2016 · author #1
12. A data-driven method for improving the correlation estimation in serial ensemble Kalman filters math.ST · 2016 · author #2
13. Iterated Diffusion Maps for Feature Identification math.CA · 2015 · author #2
14. Parametric Reduced Models for the Nonlinear Schr\"odinger Equation cond-mat.stat-mech · 2015 · author #1
15. Semiparametric forecasting and filtering: correcting low-dimensional model error in parametric models stat.ME · 2015 · author #2
16. Forecasting Turbulent Modes with Nonparametric Diffusion Models: Learning from noisy data nlin.CD · 2015 · author #2
17. An algebraic method for constructing stable and consistent autoregressive filters stat.ME · 2014 · author #1
18. Nonparametric forecasting of low-dimensional dynamical systems math.DS · 2014 · author #3
19. Adaptive Error Covariances Estimation Methods for Ensemble Kalman Filters math.OC · 2014 · author #2
20. Nonparametric Uncertainty Quantification for Stochastic Gradient Flows math.DS · 2014 · author #2
21. Variable Bandwidth Diffusion Kernels math.SP · 2014 · author #2
22. Model Error in Data Assimilation math.DS · 2013 · author #1
23. Linear theory for filtering nonlinear multiscale systems with model error math.DS · 2013 · author #2

Mentions

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Frequent Coauthors

• Tyrus Berry 8 shared papers
• Xiantao Li 3 shared papers
• Dimitrios Giannakis 2 shared papers
• He Zhang 2 shared papers
• Mich\`ele De La Chevroti\`ere 2 shared papers
• Dibyajyoti Chakraborty 1 shared papers
• Faheem Gilani 1 shared papers
• Haizhao Yang 1 shared papers
• Hoon Hong 1 shared papers
• Jacob L. Robbins 1 shared papers
• Matina Gkioulidou 1 shared papers
• Romit Maulik 1 shared papers
• Shixiao W. Jiang 1 shared papers
• Wenrui Hao 1 shared papers
• Xuyang Li 1 shared papers
• Yicun Zhen 1 shared papers